The Radiological Society of New Jersey
With the exponential growth of artificial intelligence/machine learning in our field, there is an ever-growing demand to provide resources to empower radiologists to understand, develop, and implement AI/machine learning tools into their practice.
We aim to target particularly relevant Informatics and AI resources, and bring them to the attention of RSNJ members via this webpage. We also welcome any suggestions for content addition, corrections, or improvements from any interested member.
FDA Cleared - AI-Software
American Board of Artificial Intelligence in Radiology, or ABAIR, formed 2022-Aug-17. Offering a two-day onsite course with the following topics:
Pass a 75-question exam = certified “AI software in radiology” (“AiRC-certified”). ABAIR website lists initial course’s cost at $449 with a 30% discount for students. Website here, press announcement here.
Literature & Articles
|Article Title||Journal||Publication Year|
|Radiology Resident Training – 1 day Introductory Course (Determining Effectiveness). AI-RADS: Successes and challenges of a novel artificial intelligence curriculum for radiologists across different delivery formats. Med. Technol., 04 January 2023. Volume 4 - 2022||Frontiers||2023|
|Artificial Intelligence and Radiology Education
Tejani, Ali S.(TRS member), et al. Radiology:Artificial Intelligence Vol. 5 No 1.
|HIMSS-SIIM Collaborative White papers||SIIM||2022|
|Mitigating Bias in Machine Learning collection from Radiology: Artificial Intelligence||RSNA||2022|
|AI musculoskeletal clinical applications: how can AI increase my day-to-day efficiency?||Skeletal Radiol||2022|
|IHE White Paper on AI interoperability||IHE||2021|
|Applications of Artificial Intelligence in Musculoskeletal Imaging: From the Request to the Report||Canadian Association of Radiologists||2021|
|Who Will Pay for AI?||Radiology: AI||2021|
|Deep Learning for Natural Language Processing in Radiology—Fundamentals and a System||JACR||2020|
|Artificial Intelligence for Medical Image Analysis: A Guide for Authors and Reviewers : American Journal of Roentgenology : Vol. 212, No. 3 (AJR) (ajronline.org)||AJR||2019|
|Guide for Evaluating Clinical Performance and Effect of AI for Medical Diagnosis and Prediction||Radiology||2018|